Sentence examples for predict subject from inspiring English sources

We predict subject performance for a depth judgement task using published specifications for seven different 3D displays.

The resultant network after an 8-sec encoding period was used to predict subject's subsequent recall performance.

In this mode, the camera will focus continuously for as long as you half-press your shutter button, and can predict subject movement, too.

In this mode, the camera will track and predict subject motion, as opposed to locking the focus as soon as it acquired (which will result in most of your photos being out of focus).

We demonstrated that the computational model of theta phase precession can predict subjects' subsequent recall performance and that its predictive ability is better than experimental parameters (Fig. 3a) and other computational models (Fig. 5).

Propensity analysis incorporates predictive modeling for both exposures and responses, enabling researchers to predict subjects' propensity (likelihood) of exposure, given preexposure characteristics and population exposure distributions.

Using a virtual platform of a stereo-radiographic system, the objectives of this study were to evaluate the ability of an SSM to predict subject-specific 3D implanted patellar geometries from simulated 2D image profiles, and to formulate an effective data collection methodology for PF kinematics by considering accuracy for a variety of patient pose scenarios.

The overall conclusion from the experiment is that theory about social reputation can predict subjects' social-signaling behavior.

We model the medical allocation problem and experimentally test the power of several theoretical concepts (ranging from utilitarianism to Rawlsian behavior) to predict subjects' choice behavior.

Instead, psychometric theory relies predominantly on the development of abstract models that are meant to predict subjects' performance in certain tasks.

To identify the association between body composition and newly developed carpal tunnel syndrome (CTS) and to search for the best probabilistic cutoff value of associated factors to predict subjects with physical disabilities developing new CTS.